Researching the limitations of moving from AI to AGI
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University of South Carolina's AI & AGI Laboratory researches artificial intelligence (AI) and general intelligence (AGI). Our research spans from experimenting with A.I simulations to interdisciplinary collaborations with the wider academic community. Our experiments use AI as a mirror to understand the human mind. Partnered with Interpares, we are networked with +50 universities across six continents. Informed by global research, we aim to serve our local communities.
Our partnership with MethodsAGI 's simulation software assists researchers experiment on how learning and cognition are affected by A.I technology.
We use USC's BioMetrics UX lab enables us to experiment on how human biology responds to A.I technology.
We use USC's Social Media lab enables us to experiment on the interactions between society and A.I technology using big data.
Latest Software
EcoAIBot.com an AI bot for students to control the "brain" of a chatbot to learn how AI works while using very little energy.
AuthorDector.com for monitoring the writing process of participants (e.g, words as they are typed in real time and any copy pastes) alongside biometrics (e.g., attention and emotion).
MethodsAGI.com lets you control the AI found in search & bots (e.g., ChatGPT). By experimenting with AI and humans, we make insights on AGI.
FrameNotes.com Every lab needs a good physical notebook. This one was designed for how the lab keeps notes organized.
We invite you to contribute to our research team. Or you can contribute to the development of MethodsAGI: An A.I simulation software.
Latest Publications
Lockett, A. A., Novin, A., & Conway, L. (2025). AI ’s Usefulness in Assisting with Health Insurance Literacy. Proceedings of the Association for Information Science and Technology, 62(1), 1569–1571. https://doi.org/10.1002/pra2.1470
Novin, A., Maslo, S., & Makarus, B. (2025). How AI Advises Young Women: A Disembodied Chatbot’s “Diet Tips” Lacks Reassuring Context. Proceedings of the Association for Information Science and Technology, 62(1), 1606–1609. https://doi.org/10.1002/pra2.1482
Novin, A., & Towne, G. (2025). A Tool for Researching how AI Affects Information Seeking. Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval, 396–404. https://doi.org/10.1145/3698204.3716477
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